{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/quocanhdo/Monash Uni Enterprise Dropbox/Quoc-Anh Do/Project - Network at Sciences Po/QA - Nicolo/Replication_Package/Replication_Package_Dec2025/Results/LogFigure2.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}31 Dec 2025, 18:05:07
{txt}
{com}. 
. * Panel A
. preserve
{txt}
{com}. keep if $condition 
{txt}(241,980 observations deleted)

{com}. egen tag_i1=tag(uid_i1)
{txt}
{com}. 
. cap drop sample
{txt}
{com}. quietly reg DiffPPa LUL DiffPP $Xvar 
{txt}
{com}. gen sample=e(sample)
{txt}
{com}. 
. reg polposnow_i1 polpos_i1 if tag_i1==1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       323
{txt}{hline 13}{c +}{hline 34}   F(1, 321)       = {res}   561.82
{txt}       Model {c |} {res} 597.973227         1  597.973227   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 341.655256       321  1.06434659   {txt}R-squared       ={res}    0.6364
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.6353
{txt}       Total {c |} {res} 939.628483       322  2.91810088   {txt}Root MSE        =   {res} 1.0317

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}polposnow_i1{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}polpos_i1 {c |}{col 14}{res}{space 2} .7097749{col 26}{space 2} .0299448{col 37}{space 1}   23.70{col 46}{space 3}0.000{col 54}{space 4}  .650862{col 67}{space 3} .7686877
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.434631{col 26}{space 2} .1650352{col 37}{space 1}    8.69{col 46}{space 3}0.000{col 54}{space 4} 1.109944{col 67}{space 3} 1.759318
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. predict resid_i1, resid
{txt}
{com}. gen Dpolpos_i1 = polposnow_i1 - polpos_i1
{txt}
{com}. bysort uid_i1: egen DegIG_i1 = sum(LUL) if IGno_i2==IGno_i1
{txt}(51,341 missing values generated)

{com}. bysort uid_i1: egen DegNIG_i1 = sum(LUL) if IGno_i2~=IGno_i1
{txt}(985 missing values generated)

{com}. keep if tag_i1==1
{txt}(52,003 observations deleted)

{com}. keep sample DegIG_i1 DegNIG_i1 Dpolpos_i1 polposnow_i1 resid_i1 polpos_i1 IGno_i1 uid_i1
{txt}
{com}. keep if IGno_i1~=.
{txt}(0 observations deleted)

{com}. 
. permute IGno_i1 W_B_SD=r(w_b_sd_ratio) , reps(300) seed(1) saving("$path/Data/Intermediate/Permutation2.dta", replace): W_B_SD Dpolpos_i1 IGno_i1
{res}{txt}(running {bf:W_B_SD} on estimation sample)

{p 0 9 2}
warning: {bf:W_B_SD} does not set {bf:e(sample)}, so no 
observations will be excluded from the permutations because of 
missing values or other reasons. To exclude observations, press 
Break, save the data, drop any observations that are to be excluded, 
and rerun {bf:permute}.{p_end}
{res}
{text}Permutations ({result:300}){text}: {res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}10{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}20{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}30{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}40{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}50{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}60{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}70{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}80{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}90{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}100{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}110{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}120{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}130{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}140{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}150{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}160{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}170{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}180{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}190{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}200{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}210{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}220{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}230{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}240{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}250{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}260{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}270{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}280{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}290{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}300{text} done
{res}
{txt}Monte Carlo permutation results{col 52}Number of observations = {res}323
{txt}Permutation variable: {res}IGno_i1{txt}{col 52}Number of permutations = {res}300
{p2colset 7 16 20 2}{...}

{txt}{p2col :Command:}{res:W_B_SD Dpolpos_i1 IGno_i1}{p_end}
{p2colset 8 16 20 2}{...}
{p2col :W_B_SD:}{res:r(w_b_sd_ratio)}{p_end}

{hline 13}{c TT}{hline 65}
{col 14}{c |}{col 62}{help j_permute_error:Monte Carlo error}
{col 14}{c |}{col 61}{hline 19}
{col 12}T{col 14}{c |}{col 19}T(obs){col 32}Test{col 43}c{col 51}n{col 58}p{col 61}SE(p)   [95% CI(p)]
{hline 13}{c +}{hline 65}
{space 6}W_B_SD {c |}{res}{space 1} 1.592817      lower      10     300{space 2}.0333{space 2}.0104{space 2}.0161{space 2}.0604
{txt}{col 14}{c |}{res}{space 10}      upper     290     300{space 2}.9667{space 2}.0104{space 2}.9396{space 2}.9839
{txt}{col 14}{c |}{res}{space 10}  two-sided{space 16}{space 2}.0667{space 2}.0144{space 2}.0384{space 2}.0949
{txt}{hline 13}{c BT}{hline 65}
Notes: For lower one-sided test, c = #{T <= T(obs)} and p = p_lower = c/n.
       For upper one-sided test, c = #{T >= T(obs)} and p = p_upper = c/n.
       For two-sided test, p = 2*min(p_lower, p_upper); SE and CI {help j_permute_approx:approximate}.

{com}. mat B = r(b)
{txt}
{com}. sca value = B[1,1]
{txt}
{com}. mat B = r(p_lower)
{txt}
{com}. sca p_lower = B[1,1]
{txt}
{com}. local val : di %3.2f value 
{res}{txt}
{com}. local p_low : di %3.2f p_lower 
{res}{txt}
{com}. local legend_string = "Value in the data = `val' (p-value = `p_low')"
{txt}
{com}. di "`legend_string'"
{res}Value in the data = 1.59 (p-value = 0.03)
{txt}
{com}. use "$path/Data/Intermediate/Permutation2.dta", clear
{txt}(permute IGno_i1 : W_B_SD)

{com}. kdensity W_B_SD, kernel(gaussian) recast(area) fcolor(ltblue) xscale(range(1.5 3)) addplot(scatteri 0 `=value' 1.5 `=value' "Value in the data", recast(line) lpattern(longdash)) legend(order(1 2 "`legend_string'") position(6) rows(1)) ///
>         xtitle(Permuted Groups' Within-Group/Between-Group Standard Deviations) title("Permutation test of Changes in Political Opinions") graphregion(color(white)) bgcolor(white)
{res}{txt}
{com}. graph save "$path/Results/Permutation_Dpolpos", replace
{res}{txt}file {bf:/Users/quocanhdo/Monash Uni Enterprise Dropbox/Quoc-Anh Do/Project - Network at Sciences Po/QA - Nicolo/Replication_Package/Replication_Package_Dec2025/Results/Permutation_Dpolpos.gph} saved

{com}. graph export "$path/Results/Permutation_Dpolpos.pdf", as(pdf) replace
{txt}{p 0 4 2}
file {bf}
/Users/quocanhdo/Monash Uni Enterprise Dropbox/Quoc-Anh Do/Project - Network at Sciences Po/QA - Nicolo/Replication_Package/Replication_Package_Dec2025/Results/Permutation_Dpolpos.pdf{rm}
saved as
PDF
format
{p_end}

{com}. restore
{txt}
{com}. 
. 
. * Panel B
. preserve
{txt}
{com}. keep if $condition 
{txt}(241,980 observations deleted)

{com}. egen tag_i1=tag(uid_i1)
{txt}
{com}. 
. cap drop sample
{txt}
{com}. quietly reg DiffPPa LUL DiffPP $Xvar 
{txt}
{com}. gen sample=e(sample)
{txt}
{com}. 
. reg polposnow_i1 polpos_i1 if tag_i1==1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       323
{txt}{hline 13}{c +}{hline 34}   F(1, 321)       = {res}   561.82
{txt}       Model {c |} {res} 597.973227         1  597.973227   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 341.655256       321  1.06434659   {txt}R-squared       ={res}    0.6364
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.6353
{txt}       Total {c |} {res} 939.628483       322  2.91810088   {txt}Root MSE        =   {res} 1.0317

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}polposnow_i1{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}polpos_i1 {c |}{col 14}{res}{space 2} .7097749{col 26}{space 2} .0299448{col 37}{space 1}   23.70{col 46}{space 3}0.000{col 54}{space 4}  .650862{col 67}{space 3} .7686877
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.434631{col 26}{space 2} .1650352{col 37}{space 1}    8.69{col 46}{space 3}0.000{col 54}{space 4} 1.109944{col 67}{space 3} 1.759318
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. predict resid_i1, resid
{txt}
{com}. gen Dpolpos_i1 = polposnow_i1 - polpos_i1
{txt}
{com}. 
. bysort uid_i1: egen DegIG_i1 = sum(LUL) if IGno_i2==IGno_i1
{txt}(51,341 missing values generated)

{com}. bysort uid_i1: egen DegNIG_i1 = sum(LUL) if IGno_i2~=IGno_i1
{txt}(985 missing values generated)

{com}. keep if tag_i1==1
{txt}(52,003 observations deleted)

{com}. keep sample DegIG_i1 DegNIG_i1 Dpolpos_i1 polposnow_i1 resid_i1 polpos_i1 IGno_i1 uid_i1
{txt}
{com}. keep if IGno_i1~=.
{txt}(0 observations deleted)

{com}. 
. permute IGno_i1 W_B_SD=r(w_b_sd_ratio) , reps(300) seed(1) saving("$path/Data/Intermediate/Permutation1.dta", replace): W_B_SD polposnow_i1 IGno_i1
{res}{txt}(running {bf:W_B_SD} on estimation sample)

{p 0 9 2}
warning: {bf:W_B_SD} does not set {bf:e(sample)}, so no 
observations will be excluded from the permutations because of 
missing values or other reasons. To exclude observations, press 
Break, save the data, drop any observations that are to be excluded, 
and rerun {bf:permute}.{p_end}
{res}
{text}Permutations ({result:300}){text}: {res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}10{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}20{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}30{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}40{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}50{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}60{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}70{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}80{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}90{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}100{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}110{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}120{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}130{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}140{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}150{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}160{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}170{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}180{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}190{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}200{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}210{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}220{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}230{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}240{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}250{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}260{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}270{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}280{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}290{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}300{text} done
{res}
{txt}Monte Carlo permutation results{col 52}Number of observations = {res}323
{txt}Permutation variable: {res}IGno_i1{txt}{col 52}Number of permutations = {res}300
{p2colset 7 16 20 2}{...}

{txt}{p2col :Command:}{res:W_B_SD polposnow_i1 IGno_i1}{p_end}
{p2colset 8 16 20 2}{...}
{p2col :W_B_SD:}{res:r(w_b_sd_ratio)}{p_end}

{hline 13}{c TT}{hline 65}
{col 14}{c |}{col 62}{help j_permute_error:Monte Carlo error}
{col 14}{c |}{col 61}{hline 19}
{col 12}T{col 14}{c |}{col 19}T(obs){col 32}Test{col 43}c{col 51}n{col 58}p{col 61}SE(p)   [95% CI(p)]
{hline 13}{c +}{hline 65}
{space 6}W_B_SD {c |}{res}{space 1} 1.654336      lower       8     300{space 2}.0267{space 2}.0093{space 2}.0116{space 2}.0519
{txt}{col 14}{c |}{res}{space 10}      upper     292     300{space 2}.9733{space 2}.0093{space 2}.9481{space 2}.9884
{txt}{col 14}{c |}{res}{space 10}  two-sided{space 16}{space 2}.0533{space 2}.0130{space 2}.0279{space 2}.0788
{txt}{hline 13}{c BT}{hline 65}
Notes: For lower one-sided test, c = #{T <= T(obs)} and p = p_lower = c/n.
       For upper one-sided test, c = #{T >= T(obs)} and p = p_upper = c/n.
       For two-sided test, p = 2*min(p_lower, p_upper); SE and CI {help j_permute_approx:approximate}.

{com}. mat B = r(b)
{txt}
{com}. sca value = B[1,1]
{txt}
{com}. mat B = r(p_lower)
{txt}
{com}. sca p_lower = B[1,1]
{txt}
{com}. local val : di %3.2f value 
{res}{txt}
{com}. local p_low : di %3.2f p_lower 
{res}{txt}
{com}. local legend_string = "Value in the data = `val' (p-value = `p_low')"
{txt}
{com}. di "`legend_string'"
{res}Value in the data = 1.65 (p-value = 0.03)
{txt}
{com}. use "$path/Data/Intermediate/Permutation1.dta", clear
{txt}(permute IGno_i1 : W_B_SD)

{com}. kdensity W_B_SD, kernel(gaussian) recast(area) fcolor(ltblue) xscale(range(1.5 3)) addplot(scatteri 0 `=value' 1.55 `=value', recast(line) lpattern(longdash)) legend(order(1 2 "`legend_string'") position(6) rows(1)) ///
>         xtitle(Permuted Groups' Within-Group/Between-Group Standard Deviations) title("Permutation test of Present Political Opinions") graphregion(color(white)) bgcolor(white)
{res}{txt}
{com}. graph save "$path/Results/Permutation_polposnow", replace
{res}{txt}file {bf:/Users/quocanhdo/Monash Uni Enterprise Dropbox/Quoc-Anh Do/Project - Network at Sciences Po/QA - Nicolo/Replication_Package/Replication_Package_Dec2025/Results/Permutation_polposnow.gph} saved

{com}. graph export "$path/Results/Permutation_polposnow.pdf", as(pdf) replace
{txt}{p 0 4 2}
file {bf}
/Users/quocanhdo/Monash Uni Enterprise Dropbox/Quoc-Anh Do/Project - Network at Sciences Po/QA - Nicolo/Replication_Package/Replication_Package_Dec2025/Results/Permutation_polposnow.pdf{rm}
saved as
PDF
format
{p_end}

{com}. restore
{txt}
{com}. 
. log close // Figure 2
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/quocanhdo/Monash Uni Enterprise Dropbox/Quoc-Anh Do/Project - Network at Sciences Po/QA - Nicolo/Replication_Package/Replication_Package_Dec2025/Results/LogFigure2.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}31 Dec 2025, 18:05:10
{txt}{.-}
{smcl}
{txt}{sf}{ul off}